RM
Richard McKinley
cs.CVeess.IVMRIImage Processing, Computer-Assistedcs.LGdeep learningDeep LearningMagnetic Resonance ImagingBrainbrain morphometry
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
Preprints & journals
61 papers in the corpus · 2010–2026Field strength-dependent sensitivity of chemical exchange saturation transfer: a methodological comparison of 3 Tesla and 7 Tesla in a clinical cohort.42428750 · Capiglioni, Milena, Fabian, Moritz Simon, Marti, Stefanie et al.2026 · 1 citationBrain communications. 2026;8(4):fcag248
Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools.42286078 · Mello, Victor B B, McKinley, Richard, Wiest, Roland et al.2026 · 0 citationsScientific reports. 2026;16(1)
Mitigating the Impact of MR Sequence Parameters: Increasing the Robustness of DL-Based Cortical Thickness Estimates.42252567 · Blattner, Timo, Romascano, David, McKinley, Richard et al.2026 · 0 citationsHuman brain mapping. 2026;47(8):e70560
Prediction of Major Stroke (NIHSS > 5) Based on MR Perfusion Imaging Using a 3D ResNet.41703312 · Kurmann, Christoph C, Mujanovic, Adnan, Beyeler, Morin et al.2026 · 0 citationsClinical neuroradiology. 2026;36(2):661-671
Retardance and depolarization of brain white matter as markers for intraoperative delineation of brain tumors: experiments and simulations.41394502 · Wang, Meishu, Chae, Sooyong, Lukinsone, Vanesa et al.2025 · 6 citationsBiomedical optics express. 2025;16(12):5261-5278
Polarimetric feature analysis of Mueller matrices for brain tumor image segmentation.41215153 · Hahne, Christopher, Diaz, Ivan, Rodríguez-Núñez, Omar et al.2025 · 5 citationsOptics express. 2025;33(20):43379-43392
Alignment of histological and polarimetric large-scale imaging for brain tissue characterization.40995534 · Gros, Éléa, Rodríguez-Núñez, Omar, Moriconi, Stefano et al.2025 · 2 citationsJournal of biomedical optics. 2025;30(9):096003
Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI2508.04404v2 · Marijn Borghouts, Richard McKinley, Manuel Kostner et al.2025 · 0 citationsarXiv
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.40628696 · Zenk, Maximilian, Baid, Ujjwal, Pati, Sarthak et al.2025 · 16 citationsNature communications. 2025;16(1):6274
Exploring Robustness of Cortical Morphometry in the presence of white matter lesions, using Diffusion Models for Lesion Filling2503.20571v1 · Vinzenz Uhr, Ivan Diaz, Christian Rummel et al.2025 · 0 citationsarXiv
Diffusion Imaging Protocol Heterogeneity Biases Ischemic Core Volume, Location, and Clinical Associations in Acute Stroke.40127144 · Rafael-Patiño, Jonathan, Fischi-Gomez, Elda, Madrona, Antoine et al.2025 · 4 citationsStroke. 2025;56(4):915-925
MRI-based surface reconstruction and cortical thickness estimation of the human brain: Benchmarking deep-learning based morphometry tools10.1101/2025.03.22.25324274v1 · Mello, V. B. B., McKinley, R., Wiest, R. et al.2025 · 0 citationsmedRxiv
Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix Polarimetry.41082429 · Hahne, Christopher, Rodriguez-Nunez, Omar, Gros, Elea et al.2025 · 2 citationsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2025;34:6953-6962
Characterization of Polarimetric Properties in Various Brain Tumor Types Using Wide-Field Imaging Mueller Polarimetry.38865222 · Gros, Romane, Rodriguez-Nunez, Omar, Felger, Leonard et al.2025 · 23 citationsIEEE transactions on medical imaging. 2024;43(12):4120-4132
Transient brain structure changes after high phenylalanine exposure in adults with phenylketonuria.38723047 · Muri, Raphaela, Rummel, Christian, McKinley, Richard et al.2024 · 17 citationsBrain : a journal of neurology. 2024;147(11):3863-3873
Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical data.39655282 · Diaz, Ivan, Geiger, Mario, McKinley, Richard Iain2024 · 3 citationsThe journal of machine learning for biomedical imaging. 2024;2(May 2024):834-855
Do you see what I see? Diffusion imaging protocol heterogeneity biases ischemic core volume, location, and clinical associations in acute stroke10.1101/2024.03.19.585494v1 · Rafael-Patino, J., Fischi-Gomez, E., Madrona, A. et al.2024 · 1 citationbioRxiv
Near-real-time Mueller polarimetric image processing for neurosurgical intervention.38503943 · Moriconi, Stefano, Rodríguez-Núñez, Omar, Gros, Éléa et al.2024 · 5 citationsInternational journal of computer assisted radiology and surgery. 2024;19(6):1033-1043
Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods.38823248 · Romascano, David, Rebsamen, Michael, Radojewski, Piotr et al.2024 · 2 citationsNeuroImage. Clinical. 2024;43:103624
CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph.41346864 · McKinley, Richard, Rummel, Christian2025 · 7 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2023:730-739
Robustness of the wide-field imaging Mueller polarimetry for brain tissue differentiation and white matter fiber tract identification in a surgery-like environment: an ex vivo study.37206128 · Felger, Leonard, Rodríguez-Núñez, Omar, Gros, Romain et al.2026 · 25 citationsBiomedical optics express. 2023;14(5):2400-2415
Effects of formalin fixation on polarimetric properties of brain tissue: fresh or fixed?37234458 · Gros, Romain, Rodríguez-Núñez, Omar, Felger, Leonard et al.2026 · 14 citationsNeurophotonics. 2023;10(2):025009
Author Correction: Federated learning enables big data for rare cancer boundary detection.36702828 · Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon et al.2025 · 5 citationsNature communications. 2023;14(1):436
Biomedical image analysis competitions: The state of current participation practice2212.08568v2 · Matthias Eisenmann, Annika Reinke, Vivienn Weru et al.2022 · 18 citationsarXiv
Federated learning enables big data for rare cancer boundary detection.36470898 · Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon et al.2022 · 390 citationsNature communications. 2022;13(1):7346
Reliable brain morphometry from contrast-enhanced T1w-MRI in patients with multiple sclerosis.36250711 · Rebsamen, Michael, McKinley, Richard, Radojewski, Piotr et al.2023 · 23 citationsHuman brain mapping. 2023;44(3):970-979
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.36998700 · Mehta, Raghav, Filos, Angelos, Baid, Ujjwal et al.2024 · 61 citationsThe journal of machine learning for biomedical imaging. 2022;2022
Machine learning for white matter fibre tract visualization in the human brain via Mueller matrix polarimetric data.41376807 · McKinley, Richard, Felger, Leonard A, Hewer, Ekkehard et al.2025 · 15 citationsProceedings of SPIE--the International Society for Optical Engineering. 2022:35
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI.35250818 · Rebsamen, Michael, Radojewski, Piotr, McKinley, Richard et al.2022 · 9 citationsFrontiers in neurology. 2022;13:812432
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient2103.06205v4 · Florian Kofler, Ivan Ezhov, Fabian Isensee et al.2021 · 53 citationsMachine.Learning.for.Biomedical.Imaging. 2 (2023)
Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks.33441684 · McKinley, Richard, Wepfer, Rik, Aschwanden, Fabian et al.2021 · 91 citationsScientific reports. 2021;11(1):1087
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty2012.06436v1 · Richard McKinley, Micheal Rebsamen, Katrin Daetwyler et al.2020 · 32 citationsarXiv
Beyond Accuracy: Investigating the Potential Clinical Utility of Predicting Functional Dependency and Severe Disability or Death in Successfully Reperfused Patients using Machine Learning10.1101/2020.11.17.20232280v1 · Meier, R., Burri, M., Fischer, S. et al.2020 · 1 citationmedRxiv
Direct cortical thickness estimation using deep learning-based anatomy segmentation and cortex parcellation.32786059 · Rebsamen, Michael, Rummel, Christian, Reyes, Mauricio et al.2021 · 64 citationsHuman brain mapping. 2020;41(17):4804-4814
Threshold-based Identification of Persistent Infarction after Successful Endovascular Treatment: Re-evaluating the "Core"10.1101/2020.04.09.20048744v1 · Meier, R., Lux, P., McKinley, R. et al.2020 · 3 citationsmedRxiv
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence.31927500 · McKinley, Richard, Wepfer, Rik, Grunder, Lorenz et al.2021 · 74 citationsNeuroImage. Clinical. 2020;25:102104
ModelHub.AI: Dissemination Platform for Deep Learning Models1911.13218v1 · Ahmed Hosny, Michael Schwier, Christoph Berger et al.2019 · 15 citationsarXiv
Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation.31749678 · Rebsamen, Michael, Knecht, Urspeter, Reyes, Mauricio et al.2023 · 25 citationsFrontiers in neuroscience. 2019;13:1182
Neural Network-derived Perfusion Maps for the Assessment of Lesions in Patients with Acute Ischemic Stroke.33937801 · Meier, Raphael, Lux, Paula, Med, B et al.2022 · 21 citationsRadiology. Artificial intelligence. 2019;1(5):e190019
Stratify or Inject: Two Simple Training Strategies to Improve Brain Tumor Segmentation1907.12941v1 · Raphael Meier, Michael Rebsamen, Urspeter Knecht et al.2019 · 1 citationarXiv
Advanced MRI in acute stroke: Is the whole penumbra salvageable?31019102 · McKinley, Richard, Marshall, Randolph2019 · 2 citationsNeurology. 2019;92(21):983-984
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks1904.02436v1 · Richard McKinley, Michael Rebsamen, Raphael Meier et al.2019 · 6 citationsarXiv
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.30908194 · Kuijf, Hugo J, Biesbroek, J Matthijs, De Bresser, Jeroen et al.2020 · 293 citationsIEEE transactions on medical imaging. 2019;38(11):2556-2568
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks1901.07419v3 · Richard McKinley, Rik Wepfer, Fabian Aschwanden et al.2019 · 11 citationsarXiv
Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information.30568631 · Pinto, Adriano, Mckinley, Richard, Alves, Victor et al.2022 · 78 citationsFrontiers in neurology. 2018;9:1060
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge1811.02629v3 · Spyridon Bakas, Mauricio Reyes, Andras Jakab et al.2018 · 1,441 citationsarXivon Valency
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI.30271370 · Winzeck, Stefan, Hakim, Arsany, McKinley, Richard et al.2023 · 175 citationsFrontiers in neurology. 2018;9:679
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure.30209345 · Commowick, Olivier, Istace, Audrey, Kain, Michaël et al.2019 · 280 citationsScientific reports. 2018;8(1):13650
Relating Acute Lesion Loads to Chronic Outcome in Ischemic Stroke-An Exploratory Comparison of Mismatch Patterns and Predictive Modeling.30254601 · Habegger, Simon, Wiest, Roland, Weder, Bruno J et al.2020 · 15 citationsFrontiers in neurology. 2018;9:737
A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR.30233482 · McKinley, Richard, Hung, Fan, Wiest, Roland et al.2023 · 44 citationsFrontiers in neurology. 2018;9:717
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